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Remote Mathematical Modeling Jobs in Valley Stream, NY

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ...

Remote Commitment: 8-20 hours/week Role Responsibilities * Author and review challenging mathematics problems to train and evaluate frontier AI models . * Evaluate model outputs on tasks such as ...

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Senior Data Team Lead (Remote)

New York, NY ยท Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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Remote Mathematical Modeling information

See Valley Stream, NY salary details

$87.4K

$132.9K

$178.9K

How much do remote mathematical modeling jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote mathematical modeling in Valley Stream, NY is $132,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $150,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a remote mathematical modeler?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.
What cities near Valley Stream, NY are hiring for Remote Mathematical Modeling jobs? Cities near Valley Stream, NY with the most Remote Mathematical Modeling job openings:

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Apetan Consulting llc

Jersey City, NJ โ€ข Remote

$80 - $120/hr

Contractor

Re-posted 19 days ago


Job description

Job Description- Junior Wireless DSP/PHY Algorithm EngineerLocation-RemoteJob Summary

We are seeking a Junior Wireless DSP/PHY Algorithm Engineer to support the design, development, simulation, and optimization of wireless communication algorithms at the Physical Layer (PHY). The ideal candidate will have a strong foundation in Digital Signal Processing (DSP), wireless communication systems, and mathematical modeling, with a passion for developing next-generation wireless technologies.

Key Responsibilities
  • Assist in the development and evaluation of PHY layer algorithms for wireless communication systems.
  • Design, implement, and test DSP algorithms for signal processing applications.
  • Support simulation and performance analysis of wireless communication systems.
  • Develop models and prototypes using MATLAB, Python, C/C++, or similar tools.
  • Analyze system performance under various channel conditions and interference scenarios.
  • Participate in link-level and system-level simulations.
  • Support algorithm optimization for performance, complexity, and power efficiency.
  • Collaborate with software, hardware, and systems engineering teams.
  • Document algorithm designs, simulation results, and technical findings.
  • Assist in debugging and validating wireless communication solutions.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Telecommunications, Computer Engineering, or a related field.
  • Strong understanding of Digital Signal Processing (DSP) fundamentals.
  • Knowledge of wireless communication concepts, including:
    • Modulation and demodulation techniques
    • Channel coding and error correction
    • OFDM/OFDMA
    • MIMO systems
    • Synchronization and channel estimation
  • Familiarity with wireless standards such as:
    • 4G LTE
    • 5G NR
    • Wi-Fi (IEEE 802.11)
  • Programming skills in MATLAB, Python, C, or C++.
  • Understanding of probability, statistics, and linear algebra.
  • Strong analytical and problem-solving abilities.
Preferred Qualifications
  • Academic or project experience in wireless communications or signal processing.
  • Experience with simulation tools and communication system modeling.
  • Familiarity with PHY layer design and performance evaluation.
  • Knowledge of SDR (Software Defined Radio) platforms such as USRP or similar tools.
  • Understanding of embedded systems concepts.